Experimental verification of CNN (Cellular Neural Network)-based nonautonomous MLC chaos generator

Abstract

In this paper, experimental verification of CNN-based nonautonomous MLC system designed as chaos generator is presented by using programmable and reconfigurable IC technique. The hardware implementation uses FPAA (Field Programmable Analog Array)-based reconfigurable design methodology. FPAA is a programmable IC and a rich variety of systems including analog functions can be realized via dynamic reconfiguration. Experimental results verify the CNN-based MLC chaos generator's design methodology and that analog hardware solutions using FPAA device can be very effective for real implementation of CNN_based systems.